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Record W2786476367 · doi:10.5539/jsd.v11n1p68

Barriers and Enablers to Planning Initiatives for Active Living and Health

2018· article· en· W2786476367 on OpenAlexvenueno aff
Anthony McCosker, Anne Matan

Bibliographic record

VenueJournal of Sustainable Development · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
FundersCurtin University of Technology
KeywordsMandatePromotion (chess)BusinessGovernment (linguistics)Health promotionPublic relationsAction (physics)Value (mathematics)Public administrationPolitical scienceNursingMedicinePublic health

Abstract

fetched live from OpenAlex

The response of local government (LG) to issues of rising rates of noncommunicable diseases (NCDs) is an important one given their roles as place managers. This article explores the experiences of LG built environment and community health practitioners to identify barriers and enablers to the implementation of healthy planning and associated active living promotion efforts. The role of Australian LG in community health is presented, followed by findings from practitioner surveys and policy analysis undertaken, with subsequent discussion of the barriers and enablers. Six key enablers and barriers to successful project implementation were identified: (1) internal LG functioning, (2) the promotion of co-benefits, (3) partnerships, (4) the value of recognition and good news, (5) placing a mandate for action on LG and (6) funding and resourcing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.374
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2018
Admission routes1
Has abstractyes

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